Comparison
Find out how Curiosity gives you a finished context layer where Neptune gives you a managed graph store.
Context graph
AIRCRAFT
A320 · MSN 7420
Component
Bulkhead BK-204
Service bulletin
SB-118 · open
Supplier
Tier-1 · Hamburg
Maintenance
WO-5571 · closed
Relationships across systems, not just documents
Who each tool is for
Curiosity
For industrial teams that need structured context and on-premises control. Knowledge lives in engineering systems, structured records and regulated environments, and the answers have to reason over how those things connect.
Amazon Neptune
Amazon Neptune is a managed graph database on AWS that supports property graph queries with Gremlin and openCypher, and RDF with SPARQL. It offers basic RDF inference but not full ontology reasoning, and it suits teams building on AWS. It is a storage and query layer rather than a finished product.
Neptune is a managed graph store for teams building on AWS. Curiosity is a finished context layer that connects your systems, adds the AI layer and runs on your own infrastructure.
A finished product, not a managed database
With Neptune you still build extraction, retrieval, security, agents and the interface. Curiosity ships them together as one system.
Search, AI and agents included
Neptune stores and queries graphs. Curiosity adds search, similarity, enrichment, embeddings and agents, and connects the language model you choose.
Not tied to one cloud
Neptune runs inside AWS. Curiosity runs where your data lives and connects to your existing systems.
Side by side
Feature comparison
Deployment
Cloud or self hosted, ready to use
Managed on AWS
Data model
Managed context layer and knowledge graph
Property graph and RDF
Industrial fit
Built for industrial and enterprise teams
General purpose, AWS teams
Data reach
Connects your sources out of the box
Pipelines you build
Residency
EU hosted, you control residency
AWS regions
Services Innovation Team, Airline Services at Airbus